scholarly journals Incidence and Prognostic Nomogram for Resected Non-small Cell Neuroendocrine Tumor: A Population-Based Respective Study in China and the SEER Database

2021 ◽  
Author(s):  
Zhaofei Pang ◽  
Yong Liu ◽  
Xiaogang Zhao ◽  
Guoyuan Ma ◽  
Qidi Zhao ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Factors ◽  
Neuroendocrine Tumor ◽  
Staging System ◽  
Small Cell ◽  
Clinical Usefulness ◽  
Seer Database ◽  
Resected Nsclc ◽  
Chinese Cohort ◽  
Adjusted Incidence

Abstract Background: Pulmonary neuroendocrine tumors, including small cell lung cancer (SCLC) and non-small cell neuroendocrine tumor (NSCLC-NET), have obvious heterogeneity. The comparison between SCLC and NSCLC-NET, and prognostic nomogram of resected NSCLC-NET have not been performed.Methods: We retrieved patients’ information with pulmonary neuroendocrine tumors from SEER database. Age-adjusted incidence and prognostic impacts of histological subtypes, surgery strategies and smoking were compared between SCLC and NSCLC-NET. Independent prognostic factors, screened by Cox regression, were enrolled for prognostic nomogram of resected NSCLC-NET. The nomogram were evaluated and compared to the 8th AJCC TNM staging system. A Chinese cohort was used for external validation.Results: Age-adjusted incidence of SCLC declined after 1991 but the incidence of NSCLC-NET continuously rose. Patients with typical carcinoid had the best prognosis in both overall survival and lung cancer specific survival after operation. Sleeve and segmental resection were more recommended in NSCLC-NET and SCLC, respectively. High-smoking index was associated with worse prognosis in both SCLC and NSCLC-NET. Histological subtype, age, surgery type, N, M stage and chemotherapy were independent prognostic factors and used to construct prognostic nomogram of resected NSCLC-NET. The nomogram performed well with good discrimination, calibration and clinical usefulness, which was validated by Chinese cohort (1, 3, 5-year AUC: SEER cohort 0.873, 0.901, 0.875; Chinese cohort 0.867, 0.892, 0.874). Compared to 8th staging system, the nomogram had higher C-index (0.87 vs 0.728, P < 0.001), clinical usefulness, increasing AUC value over time and improved 68%. The online server can be accessed at https://nsclc-net-prognostic-prediction.shinyapps.io/DynNomapp/. Conclusion: NSCLC-NET had increasing incidence over the past decades. The nomogram had high discrimination, calibration and clinical usefulness and performed better than 8th staging system. It may have certain value in risk stratification and survival prediction of patients with resected NSCLC-NET and help clinicians to take measures for high-risk patients in advance.

A nomogram for predicting overall survival in resected non-small cell lung cancer with chemotherapy.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21064-e21064
Author(s):  
Yuan Zeng ◽  
Wenhua Liang ◽  
Jianxing He
Keyword(s):  
Lung Cancer ◽  
Overall Survival ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Seer Database ◽  
Small Cell Lung ◽  
Lymph Node Count ◽  
Resected Nsclc ◽  
Nsclc Patients

e21064 Background: Chemotherapy is very common for resected Non-Small-Cell Lung Cancer (NSCLC) patients. However, models for predicting the survival outcomes of resected NSCLC patients with chemotherapy are scarce. The aim of this study was to develop a clinical nomogram for predicting overall survival in these patients. Methods: A total of 16661 resected NSCLC with chemotherapy were cases extracted from the Surveillance, Epidemiology, and End Results (SEER) database. We identified and integrated the prognostic factors to build a nomogram.The model was subjected to bootstrap internal validation with the SEER database and external validations with 1108 patients from China. The predictive accuracy and discriminative ability were illustrated by calibration, concordance index (C-index) and risk group stratification. Results: On multivariate analysis independent factors for OS were age, sex, examined lymph node count, extent of surgery, N stage, T stage and grade which were then integrated into the nomogram. The calibration curves for probability of 1-, 3-, and 5-year OS showed excellent agreement between nomogram prediction and actual observation. The C-index of the nomogram was higher than that of AJCC 8th edition system for predicting OS (training cohort, 0.61 vs. 0.58; P < 0.01; validation cohort, 0.66 vs. 0.63, P = 0.56). The stratification into different risk groups allowed significant distinction between survival curves. Conclusions: We established a nomogram that can provide individual prediction of OS for resected NSCLC patients with chemotherapy. This practical prognostic model may help clinicians for treatment planning and to guide future studies.

scholarly journals SURG-05. Neurosurgery for brain metastases from non-small cell lung cancer: survival outcome and prognostic factors

2021 ◽  
Vol 3 (Supplement_3) ◽  
pp. iii24-iii24
Author(s):  
De-pei Li ◽  
Zhen-ning Wang ◽  
Hao Duan ◽  
Cheng-cheng Guo ◽  
Xiao-bing Jiang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Factors ◽  
Brain Metastases ◽  
Survival Outcome ◽  
Small Cell ◽  
Seer Database ◽  
Small Cell Lung ◽  
Primary Nsclc ◽  
Nsclc Patients ◽  
Extracranial Metastases

Abstract Background Surgery is an important approach to treat non-small cell lung cancer (NSCLC) brain metastases (BM). Here, we analyzed the survival outcome and prognostic factors for patients with NSCLC after BM resection. Methods The Surveillance Epidemiology and End Results (SEER) database was employed to address the incidence of BM from NSCLC and the current prognosis at population level. 674 contemporaneous NSCLC patients received BM resection at Sun Yat-sen University Cancer Center (SYSUCC) were used for survival comparison and Cox proportional hazards model was applied for identifying prognostic factors. Results 60,436 NSCLC patients diagnosed between 2010 to 2017 were enrolled from SEER database. Among them, 8,708 (14.4%) BM were identified at primary NSCLC diagnosis (synchronous BM, SBM). Median overall survival (OS) of SBM was 6 months with 1-, and 3-year survival percentages of 30.3% and 9.8%, respectively. Furthermore, the survival of BM patients without extracranial metastasis is significantly longer than those with extracranial metastases (median OS: 10 versus 5 months, P&lt;0.001). 225 SBM (cohort A) and 449 BM with treatment history on primary NSCLC (cohort B) were collected from SYSUCC. In cohort A, 86 BM with extracranial metastases were found (38.2%) and the median OS was significantly shorter than those without extracranial metastases (15.2 versus 23.7 months, P&lt;0.001). In cohort B, 255 cases with extracranial metastases were found (56.8%) and their prognosis was also worse than cases without extracranial metastases (median OS: 18.3 versus 22.1 months, P=0.002). Multivariate analyses revealed that younger age (HR=0.71, P=0.003), without extracranial metastases (HR=0.65, P&lt;0.001) and radiation for BM (HR=0.78, P=0.005) were independent factors for better OS. Conclusion Improved survival of patients received BM resection was observed in SYSUCC cohort as comparison with SEER patients with NSCLC and BM. Aggressive local treatment including surgery and radiation is still important in Modern management of BM from NSCLC.

Development and Validation of a Nomogram for Predicting Survival in Patients With Resected Non–Small-Cell Lung Cancer

2015 ◽  
Vol 33 (8) ◽  
pp. 861-869 ◽  
Author(s):  
Wenhua Liang ◽  
Li Zhang ◽  
Gening Jiang ◽  
Qun Wang ◽  
Lunxu Liu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Factors ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Predictive Accuracy ◽  
International Association ◽  
External Validation ◽  
Small Cell ◽  
Small Cell Lung ◽  
Resected Nsclc

Purpose A nomogram is a useful and convenient tool for individualized cancer prognoses. We sought to develop a clinical nomogram for predicting survival of patients with resected non–small-cell lung cancer (NSCLC). Patients and Methods On the basis of data from a multi-institutional registry of 6,111 patients with resected NSCLC in China, we identified and integrated significant prognostic factors for survival to build a nomogram. The model was subjected to bootstrap internal validation and to external validation with a separate cohort of 2,148 patients from the International Association for the Study of Lung Cancer (IASLC) database. The predictive accuracy and discriminative ability were measured by concordance index (C-index) and risk group stratification. Results A total of 5,261 patients were included for analysis. Six independent prognostic factors were identified and entered into the nomogram. The calibration curves for probability of 1-, 3-, and 5-year overall survival (OS) showed optimal agreement between nomogram prediction and actual observation. The C-index of the nomogram was higher than that of the seventh edition American Joint Committee on Cancer TNM staging system for predicting OS (primary cohort, 0.71 v 0.68, respectively; P < .01; IASLC cohort, 0.67 v 0.64, respectively; P = .06). The stratification into different risk groups allowed significant distinction between survival curves within respective TNM categories. Conclusion We established and validated a novel nomogram that can provide individual prediction of OS for patients with resected NSCLC. This practical prognostic model may help clinicians in decision making and design of clinical studies.

Overexpression of VEGF-C and -D may predict unfavorable outcome in resected non-small cell lung cancer

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 21114-21114
Author(s):  
Y. Ko ◽  
C. Jung ◽  
M. Lee ◽  
J. Kang ◽  
Y. Hong ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Factors ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Cox Regression ◽  
Small Cell ◽  
Tissue Array ◽  
Vegf Receptor ◽  
Small Cell Lung ◽  
Resected Nsclc

21114 Background: Correlation of Vascular endothelial growth factor (VEGF)-C, VEGF-D and/or VEGF receptor 3 (VEGFR-3) with lymphatic spread, tissue invasion and poor clinical outcomes has been observed in various cancers. Nodal metastasis is known to one of poor prognostic factors in non-small cell lung cancer (NSCLC). We investigated the correlation of VEGF-C,-VEGF-D and VEGFR-3 with clinicopathologic parameters and patient survival in NSCLC. Methods: Using immunohistochemial staining, we analyzed the protein expressions of VEGF-C, VEGFD and VEGFR-3 on the tissue array specimens from 180 patients with completely resected NSCLC. A 0 to +1 immunohistochemical staining (IHCS) of the cancer cell was defined as negative, +2 to +3 IHCS was as positive. Results: The expressions of VEGF-C, VEGF-D and VEGFR-3 were observed in 28.9%, 32.8% and 30.6% of cases, respectively. In the Cox regression-based multivariate analysis, it was proved that VEGF-C and D proved to be an independent prognostic factors as well as known prognostic factors, such as tumor size and lymph node metastases (VEGF-C, p=0.001; VEGF-D, p=0.014). VEGF-C expression showed statistically significant correlation with the expression of VEGFR-3 (p=0.02). Conclusion: To be taken, the present study revealed that VEGF-C and D expression may predict poor prognosis in resected NSCLC patients. Therefore, these results seems to be worth developing promising targeting inhibitors on lymphangiogenesis which plays major role in locoregional recurrence for surgically NSCLC patinets. No significant financial relationships to disclose.

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